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Analysis of low-carbon technology transfer strategies based on a quadrilateral evolutionary game

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  • Zou, Chen
  • Huang, Yongchun
  • Ye, Zi
  • Qian, Xinyi

Abstract

Promoting low-carbon technology transfer is crucial for reducing global greenhouse gas emissions, combating climate change, and fostering sustainable development. Based on the “efficient market” and “active government” concepts, a “government-intermediary-receiver-sender” game model was constructed, identifying evolutionary stable strategies and key factors affecting strategy selection. It was found that (1) receiver and sender needs and government policy incentives increase intermediaries' willingness to participate, reducing input costs and shifting government support from incentives to compensatory regulations; (2) optimal strategies emerge when incentives for low-carbon technology senders, receivers, and intermediaries, and penalties for serious defaults by senders and receivers exceed a threshold, fostering high participation willingness and leading to government implementation of compensatory regulations; (3) differentiated penalties are necessary to avoid a sender-receiver prisoner's dilemma but only ensure one side's willingness to participate, while government incentive-based regulation can overcome negative constraints and promote active participation from both sender and receiver. Compensatory regulations encourage sustained technology transfer costs and reduce incentive costs, with optimization focusing on lowering government publicity costs and increasing economic benefits for intermediaries.

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  • Zou, Chen & Huang, Yongchun & Ye, Zi & Qian, Xinyi, 2024. "Analysis of low-carbon technology transfer strategies based on a quadrilateral evolutionary game," Energy Economics, Elsevier, vol. 138(C).
  • Handle: RePEc:eee:eneeco:v:138:y:2024:i:c:s0140988324005334
    DOI: 10.1016/j.eneco.2024.107825
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    as
    1. Gu, Gaoxiang & Wang, Zheng & Wu, Leying, 2021. "Carbon emission reductions under global low-carbon technology transfer and its policy mix with R&D improvement," Energy, Elsevier, vol. 216(C).
    2. Zhou, Kuo & Luo, Haotian & Qu, Zhi, 2023. "What can the environmental rule of law do for environmental innovation? Evidence from environmental tribunals in China," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    3. Zhou, Kuo & Luo, Haotian & Ye, Diyu & Tao, Yunqing, 2022. "The power of anti-corruption in environmental innovation: Evidence from a quasi-natural experiment in China," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    4. Audoly, Richard & Vogt-Schilb, Adrien & Guivarch, Céline & Pfeiffer, Alexander, 2018. "Pathways toward zero-carbon electricity required for climate stabilization," Applied Energy, Elsevier, vol. 225(C), pages 884-901.
    5. Zou, Chen & Huang, Yongchun & Hu, Shiliang & Huang, Zhan, 2023. "Government participation in low-carbon technology transfer: An evolutionary game study," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    6. Wang, Molin & Yan, Haifeng & Ciabuschi, Francesco & Su, Cong, 2023. "Facilitator or inhibitor? The effect of host-country intellectual property rights protection on China’s technology-driven acquisitions," International Business Review, Elsevier, vol. 32(6).
    7. Zhao, Congyu & Dong, Kangyin & Wang, Kun & Dong, Xiucheng, 2023. "Can low-carbon energy technology lead to energy resource carrying capacity improvement? The case of China," Energy Economics, Elsevier, vol. 127(PA).
    8. Zhang, Yan & Wang, Si-Xia & Yao, Jian-Ting & Tong, Rui-Peng, 2023. "The impact of behavior safety management system on coal mine work safety: A system dynamics model of quadripartite evolutionary game," Resources Policy, Elsevier, vol. 82(C).
    9. Liu, Peng & Zhou, Yuan & Zhou, Dillon K. & Xue, Lan, 2017. "Energy Performance Contract models for the diffusion of green-manufacturing technologies in China: A stakeholder analysis from SMEs’ perspective," Energy Policy, Elsevier, vol. 106(C), pages 59-67.
    10. Kirchherr, Julian & Urban, Frauke, 2018. "Technology transfer and cooperation for low carbon energy technology: Analysing 30 years of scholarship and proposing a research agenda," Energy Policy, Elsevier, vol. 119(C), pages 600-609.
    11. Zhao, Yujia & Shuai, Jing & Shi, Yin & Lu, Yang & Zhang, Zumeng, 2022. "Exploring the co-opetition mechanism of renewable energy trade between China and the “Belt and Road” countries: A dynamic game approach," Renewable Energy, Elsevier, vol. 191(C), pages 998-1008.
    12. Iyer, Gokul & Hultman, Nathan & Eom, Jiyong & McJeon, Haewon & Patel, Pralit & Clarke, Leon, 2015. "Diffusion of low-carbon technologies and the feasibility of long-term climate targets," Technological Forecasting and Social Change, Elsevier, vol. 90(PA), pages 103-118.
    13. Zhang, Xi & Zhu, Qingyuan & Li, Xingchen & Pan, Yinghao, 2023. "The impact of government subsidy on photovoltaic enterprises independent innovation based on the evolutionary game theory," Energy, Elsevier, vol. 285(C).
    14. Odenweller, Adrian, 2022. "Climate mitigation under S-shaped energy technology diffusion: Leveraging synergies of optimisation and simulation models," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    15. Romer, Paul M, 1990. "Endogenous Technological Change," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 71-102, October.
    16. Wang, Chang’an & Liu, Xiaoqian & Li, Han & Yang, Cunyi, 2023. "Analyzing the impact of low-carbon city pilot policy on enterprises' labor demand: Evidence from China," Energy Economics, Elsevier, vol. 124(C).
    17. An, Kangxin & Wang, Can & Cai, Wenjia, 2023. "Low-carbon technology diffusion and economic growth of China: an evolutionary general equilibrium framework," Structural Change and Economic Dynamics, Elsevier, vol. 65(C), pages 253-263.
    18. Liu, Peide & Li, Xina & Li, Jialu, 2023. "Competitive firms’ low-carbon technology diffusion under pollution regulations: A network-based evolutionary analysis," Energy, Elsevier, vol. 282(C).
    19. Nordhaus, William D & Yang, Zili, 1996. "A Regional Dynamic General-Equilibrium Model of Alternative Climate-Change Strategies," American Economic Review, American Economic Association, vol. 86(4), pages 741-765, September.
    20. Liu, Xianbing & Fan, Yongbin & Li, Chen, 2016. "Carbon pricing for low carbon technology diffusion: A survey analysis of China's cement industry," Energy, Elsevier, vol. 106(C), pages 73-86.
    21. Li, Jingjing & Jiao, Jianling & Tang, Yunshu, 2019. "An evolutionary analysis on the effect of government policies on electric vehicle diffusion in complex network," Energy Policy, Elsevier, vol. 129(C), pages 1-12.
    22. Zhao, Nan & Liu, Xiaojie & Pan, Changfeng & Wang, Chenyang, 2021. "The performance of green innovation: From an efficiency perspective," Socio-Economic Planning Sciences, Elsevier, vol. 78(C).
    23. Wang, Jie & He, Ya-qun & Wang, Heng-guang & Wu, Ru-fei, 2023. "Low-carbon promotion of new energy vehicles: A quadrilateral evolutionary game," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
    24. Bai, Rui & Lin, Boqiang, 2024. "An in-depth analysis of green innovation efficiency: New evidence based on club convergence and spatial correlation network," Energy Economics, Elsevier, vol. 132(C).
    25. Jacobsson, Staffan & Johnson, Anna, 2000. "The diffusion of renewable energy technology: an analytical framework and key issues for research," Energy Policy, Elsevier, vol. 28(9), pages 625-640, July.
    26. Clayton, Paige & Lanahan, Lauren & Nelson, Andrew, 2022. "Dissecting diffusion: Tracing the plurality of factors that shape knowledge diffusion," Research Policy, Elsevier, vol. 51(1).
    27. Villani, Elisa & Rasmussen, Einar & Grimaldi, Rosa, 2017. "How intermediary organizations facilitate university–industry technology transfer: A proximity approach," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 86-102.
    28. Ding, Jian & Liu, Baoliu & Shao, Xuefeng, 2022. "Spatial effects of industrial synergistic agglomeration and regional green development efficiency: Evidence from China," Energy Economics, Elsevier, vol. 112(C).
    29. Huang, Weilong & Chen, Wenying & Anandarajah, Gabrial, 2017. "The role of technology diffusion in a decarbonizing world to limit global warming to well below 2 °C: An assessment with application of Global TIMES model," Applied Energy, Elsevier, vol. 208(C), pages 291-301.
    30. Lin, Justin Yifu, 2021. "New structural economics: A framework of studying government and economics," Journal of Government and Economics, Elsevier, vol. 2(C).
    31. Kulmer, Veronika & Seebauer, Sebastian & Hinterreither, Helene & Kortschak, Dominik & Theurl, Michaela C. & Haas, Willi, 2022. "Transforming the s-shape: Identifying and explaining turning points in market diffusion curves of low-carbon technologies in Austria," Research Policy, Elsevier, vol. 51(1).
    32. Stratopoulos, Theophanis C. & Wang, Victor Xiaoqi, 2022. "Estimating the duration of competitive advantage from emerging technology adoption," International Journal of Accounting Information Systems, Elsevier, vol. 47(C).
    33. Seles, Bruno Michel Roman Pais & de Sousa Jabbour, Ana Beatriz Lopes & Jabbour, Charbel José Chiappetta & Dangelico, Rosa Maria, 2016. "The green bullwhip effect, the diffusion of green supply chain practices, and institutional pressures: Evidence from the automotive sector," International Journal of Production Economics, Elsevier, vol. 182(C), pages 342-355.
    34. Wu, Yu’e & Wang, Xinyu & Liu, Zeyun & Zhao, Xiukun, 2023. "Research on low-carbon technology diffusion among enterprises in networked evolutionary game," Chaos, Solitons & Fractals, Elsevier, vol. 174(C).
    35. Osabutey, Ellis L.C. & Croucher, Richard, 2018. "Intermediate institutions and technology transfer in developing countries: The case of the construction industry in Ghana," Technological Forecasting and Social Change, Elsevier, vol. 128(C), pages 154-163.
    36. See, Kok Fong & Ma, Zhanxin & Tian, Yuzhen, 2023. "Examining the efficiency of regional university technology transfer in China: A mixed-integer generalized data envelopment analysis framework," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
    37. Sun, Yong & Liu, Baoyin & Sun, Zhongrui & Yang, Ruijia, 2023. "Inter-regional cooperation in the transfers of energy-intensive industry: An evolutionary game approach," Energy, Elsevier, vol. 282(C).
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